Data Onboarding Background: Book Analytics Dashboard (BAD) Demonstration Project (2022-2025)

This document provides background information to the data onboarding process for the Book Analytics Service (BAS). The purpose of the data onboarding process is to gather technical and access information about the sources of a project partner’s book usage data so that we can import this data into BAS.

A companion to this 'Data Onboarding Background' document is the ‘Data Onboarding Questionnaire’ – which is a read-only version of the questionnaire that partners will be sent directly.

BAS is the main output of the Book Analytics Dashboard (BAD) project (2022-2025), which is focused on creating a sustainable OA book-focused analytics service. During the current phase, we are scaling workflows, infrastructure, and customer support; and developing a long-term plan for housing, maintenance, and funding of the analytics service as a sustainable community infrastructure. The BAD project is led by the Curtin Open Knowledge Initiative (COKI) at Curtin University in partnership with OAPEN and Educopia, and is generously supported by the Mellon Foundation and COARD. This project builds on the momentum we established in our OAeBU project (2020-2022). 

More Information

• Visit the BAS website key information page, including how to get started with the service

• Visit the BAD project website

• Follow the BAD project on Twitter @BookAnalytics

• Join the BAD project mailing list

• Visit the BAD project Zenodo community

• See the BAS dashboard for University of Michigan Press

• Our book-focussed GitHub repository

• Our technical documentation

• Email BAD info@book-analytics.org